# The data below are lab report scores for a group of science students in a University chemistry class. They performed three different …

The data below are lab report scores for a group of science   students in a University chemistry class. They performed three different   experiments on three different days. We will perform a One-Way Analysis of   Variance (ANOVA) on this data. To do this, you must enter the data into three   columns into an Excel spreadsheet that you have previously installed Megastat   as add-in.        Lab 1 Lab 2 Lab 3   15 14 14.5   15 13.5 14.3   14.3 9 11.7   14.3 14.3 14.3   14.3 9 11.7   14.3 14.3 14.3   14.7 14.4 14.6   13.5 15 14.3   14.3 14.3 14.3   14.9 14.3 14.6   14.3 13.7 14   15 14.3 14.7   15 14.9 15   15 14.4 14.7   15 14.9 14.9   12.5 15 13.8   14.7 14.7 14.7   15 12.8 13.9   15 14.3 14.6   12.8 13.5 13.1   14.3 13.5 13.9   14.3 13.5 13.9   14.4 13.3 13.8

From Megastat select   hypothesis test, then Analysis of Variance, then One-Factor ANOVA. A box   appears. Place the cursor inside the space that says input range. Then go to   the data and scroll all 3 columns from top to bottom including the headings.   Under Post-Hoc Analysis check “when p < 0.05. Check plot data, then click   OK.   Based on the output, can we conclude at   the 5% level of significance that at least one of the populations is   different? In this exercise how did you formulate the null and alternate   hypothesis? Why do we perform the Post-Hoc Analysis? Describe the requirements   that must be met before an ANOVA test may be used. Discuss what the   researcher must do if one of these requirements is not met. Why is the F   distribution important?

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